D-Wave Quantum Inc. (NYSE: QBTS) has released a new open-source quantum AI toolkit designed to help developers integrate quantum computing into modern machine learning architectures. The toolkit, part of D-Wave's Ocean software suite, provides direct integration between D-Wave's quantum computers and PyTorch, a widely used machine learning framework for creating and training deep learning models.
The company also released a demonstration showing how developers can use the toolkit to experiment with generating simple images using D-Wave quantum processors. This development represents what D-Wave believes is a pivotal step in advancing quantum AI capabilities and accelerating the use of annealing quantum computers in a growing range of AI applications.
The toolkit enables seamless integration of quantum computers into existing ML workflows, potentially opening new possibilities for quantum-enhanced machine learning. By making these tools openly available, D-Wave aims to foster innovation and exploration in the quantum AI space, allowing organizations to experiment with quantum computing for AI challenges.
D-Wave, as the world's first commercial supplier of quantum computers, has built systems that feature quantum processing units with sub-second response times. These systems can be deployed on-premises or accessed through the company's quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations currently use D-Wave technology to address computational challenges across optimization, artificial intelligence, and research applications.
The company maintains a newsroom at https://ibn.fm/QBTS where investors can access the latest updates and information. This release of quantum AI tools represents D-Wave's ongoing commitment to helping customers realize the value of quantum computing in practical applications today.
